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DNN OpenCL backend
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@ -35,14 +35,14 @@ Actual measurements in progress: https://github.com/opencv/opencv/pull/9313
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All computations in float-32.
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Actual measurements in progress: https://github.com/opencv/opencv/pull/9313
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> | Model | DNN, Halide| clDNN | clCaffe |
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> |----------------:|------------:|----------:|-------------:|
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> | GoogLeNet | 93.56 | 28.0 | **18.59** |
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> | AlexNet | 49 | **14.65** | 15.22 |
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> | ResNet-50 | 189 | | **57.77** |
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> | SqueezeNet v1.1 | 15.8 | 8.0 | **5.58** |
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> | Inception-5h | 89.5 | | |
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> | ENet @ 512x256 | 39.67 | | |
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> | Model | DNN, OpenCL backend | DNN, Halide| clDNN | clCaffe |
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> |----------------:|--------------------:|-----------:|----------:|----------:|
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> | GoogLeNet | 35.69 | 93.56 | 28.0 | **18.59** |
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> | AlexNet | 18.79 | 49 | **14.65** | 15.22 |
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> | ResNet-50 | 91.30 | 189 | | **57.77** |
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> | SqueezeNet v1.1 | 13.78 | 15.8 | 8.0 | **5.58** |
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> | Inception-5h | **39.41** | 89.5 | | |
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> | ENet @ 512x256 | 41.61 | 39.67 | | |
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#### References
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* OpenCV's deep learning module, https://github.com/opencv/opencv/tree/master/modules/dnn.
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